Artificial Neural Networks in Pattern Recognition

Learning Algorithms.- How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?- Kernel Robust Soft Learning Vector Quantization.- Incremental Learning by Message Passing in Hierarchical Temporal.- Representative Prototype Sets for Data Characterization and Classification.- Feature Selection by Block Addition and Block Deletion.- Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variants.- Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning.- Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation.- Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network.- On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition.- Classification of Segmented Objects through a Multi-net Approach.- On Instance Selection in Audio Based Emotion Recognition.- Grayscale Images and RGB Video: Compression by Morphological Neural Network.- NeuCube EvoSpike Architecture for Spatio-temporal Modelling and Pattern Recognition of Brain Signals.